Performance improvement in VSLAM using stabilized feature points [PDF]
Simultaneous localization and mapping (SLAM) is the main prerequisite for the autonomy of a mobile robot. In this paper, we present a novel method that enhances the consistency of the map using stabilized corner features.
Sahin, Caner +3 more
core +1 more source
Mobile robot localization algorithm based on multi-sensor information fusion
In order to effectively reduce the uncertainty error of mobile robot localization with a single sensor and improve the accuracy and robustness of robot localization and mapping, a mobile robot localization algorithm based on multi-sensor information ...
WANG Ming-yi, HE Li-le, LI Yu, SUO Chao
doaj
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
In order to facilitate long-term localization using a visual simultaneous localization and mapping (SLAM) algorithm, careful feature selection can help ensure that reference points persist over long durations and the runtime and storage complexity of the
Ganti, Pranav, Waslander, Steven L.
core +1 more source
Computation of the optimal relative pose between overlapping grid maps through discrepancy minimization [PDF]
Grid maps are a common environment representation in mobile robotics. Many Simultaneous Localization and Mapping (SLAM) solutions divide the global map into submaps, forming some kind of graph or tree to represent the structure of the environment, while ...
Hernando Gutiérrez, Miguel +4 more
core +2 more sources
Autonomous navigation with constrained consistency for C-Ranger [PDF]
Autonomous underwater vehicles (AUVs) have become the most widely used tools for undertaking complex exploration tasks in marine environments. Their synthetic ability to carry out localization autonomously and build an environmental map concurrently, in ...
He, Bo +4 more
core
Convergence and Consistency Analysis for A 3D Invariant-EKF SLAM
In this paper, we investigate the convergence and consistency properties of an Invariant-Extended Kalman Filter (RI-EKF) based Simultaneous Localization and Mapping (SLAM) algorithm. Basic convergence properties of this algorithm are proven. These proofs
Dissanayake, Gamini +4 more
core +1 more source
Simultaneous Localization and Mapping (SLAM) for Route Reversal Learning
Background: In this paper, we describe the design of a virtual environment (VE) using Simultaneous Localization and Mapping (SLAM) to scan and replicate a real environment (RE) in a virtual domain. Compared to using a CAD software, SLAM allows for the replication of an RE quite easily and quickly. Methods: To test the user’s performance in a SLAM-based
Kazushige Kimura +6 more
openaire +1 more source
Change it Now: eBay v. MercExchange-Business Method Patent Litigation Reaches Critical Juncture Concerning Remedies for Infringement [PDF]
Visual simultaneous localization and mapping (SLAM) as field has been researched for ten years, but with recent advances in mobile performance visual SLAM is entering the consumer market in a completely new way.
Reder, Margo E. K.
core +1 more source
Simultaneous Localization and Mapping (SLAM) using RTAB-MAP
This paper implements Simultaneous Localization and Mapping (SLAM) technique to construct a map of a given environment. A Real Time Appearance Based Mapping (RTAB-Map) approach was taken for accomplishing this task. Initially, a 2d occupancy grid and 3d octomap was created from a provided simulated environment.
openaire +2 more sources
Ultra Wide-Band Localization and SLAM: A Comparative Study for Mobile Robot Navigation
In this work, a comparative study between an Ultra Wide-Band (UWB) localization system and a Simultaneous Localization and Mapping (SLAM) algorithm is presented.
Ricardo Carelli +4 more
doaj +1 more source

